Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions.
Arvind K. SaibabaRachel MinsterMisha E. KilmerPublished in: Adv. Comput. Math. (2022)
Keyphrases
- function approximation
- low rank
- matrix completion
- reinforcement learning
- missing data
- kernel matrix
- model free
- learning tasks
- artificial neural networks
- learning algorithm
- text classification
- high order
- data sets
- learning problems
- convex optimization
- matrix factorization
- least squares
- support vector machine
- function approximators
- neural network